stateless-me/uuidv47
⚡ UUIDv47 = v4 privacy + v7 performance
Language: C
#c #c89 #database #header_only #libpq #postgres #postgresql_extension #siphash #uuid #uuidv4 #uuidv7
Stars: 390 Issues: 2 Forks: 8
https://github.com/stateless-me/uuidv47
⚡ UUIDv47 = v4 privacy + v7 performance
Language: C
#c #c89 #database #header_only #libpq #postgres #postgresql_extension #siphash #uuid #uuidv4 #uuidv7
Stars: 390 Issues: 2 Forks: 8
https://github.com/stateless-me/uuidv47
GitHub
GitHub - stateless-me/uuidv47: ⚡ UUIDv47 = v4 privacy + v7 performance
⚡ UUIDv47 = v4 privacy + v7 performance. Contribute to stateless-me/uuidv47 development by creating an account on GitHub.
subnetmarco/pgmcp
An MCP server to query any Postgres database in natural language.
Language: Go
#agent #agentic_ai #ai #analytics #artificial_intelligence #data_analysis #database #kong #mcp #mcp_server #postgres #postgresql
Stars: 318 Issues: 1 Forks: 29
https://github.com/subnetmarco/pgmcp
An MCP server to query any Postgres database in natural language.
Language: Go
#agent #agentic_ai #ai #analytics #artificial_intelligence #data_analysis #database #kong #mcp #mcp_server #postgres #postgresql
Stars: 318 Issues: 1 Forks: 29
https://github.com/subnetmarco/pgmcp
GitHub
GitHub - subnetmarco/pgmcp: An MCP server to query any Postgres database in natural language.
An MCP server to query any Postgres database in natural language. - subnetmarco/pgmcp
Basekick-Labs/arc
Time-series data warehouse built for speed. 2.08M records/sec on local NVMe. DuckDB + Parquet + flexible storage (local/MinIO/S3). AGPL-3.0
Language: Python
#database #datawarehouse #performance #time_series
Stars: 212 Issues: 2 Forks: 5
https://github.com/Basekick-Labs/arc
Time-series data warehouse built for speed. 2.08M records/sec on local NVMe. DuckDB + Parquet + flexible storage (local/MinIO/S3). AGPL-3.0
Language: Python
#database #datawarehouse #performance #time_series
Stars: 212 Issues: 2 Forks: 5
https://github.com/Basekick-Labs/arc
GitHub
GitHub - Basekick-Labs/arc: High-performance time-series database. 2.4M metrics/sec + 950K logs/sec + 940K traces/sec + 940K events/sec.…
High-performance time-series database. 2.4M metrics/sec + 950K logs/sec + 940K traces/sec + 940K events/sec. One endpoint, one protocol. DuckDB + Parquet + Arrow. AGPL-3.0 - Basekick-Labs/arc